Part 4/11:
Snowflake offers a suite of preloaded foundation models from partners like Arctic AI, Nvidia, Meta, and Stability AI, accessible serverlessly—meaning enterprises don’t need to manage complex infrastructure or worry about model loading. Users specify which model to use (e.g., GPT, Lama, Gemma), and Snowflake handles deployment behind the scenes.
Models are categorized into:
Task-specific models: For tasks like summarization, translation, sentiment analysis, classification, or answer extraction.
Embed models: For semantic retrieval, vector similarity, and document encoding.
Specialized models: Such as Arctic's optimized models for enterprise performance and cost efficiency, trained on fewer parameters but achieving high accuracy.